AI/ML Engineer - Engineering Excellence (Full Stack Developer)

Overview As a Senior AI/ML & Agentic AI Engineer within Engineering Excellence and Transformation, you design, build, and integrate cutting-edge AI solutions at enterprise scale. You will lead mid-size feature development, mentor teams, and shape AI strategies across platforms. You drive end-to-end AI systems using Python and Java, and push innovative approaches like agentic AI and RAG in production. This role offers impact on enterprise-wide automation, governance, and continuous delivery in a fast-moving, collaborative environment. Compensation / Benefitsmedical, dental & vision coverage401(k)life, accident, and disability insurancewellness programspaid time offvacation and holidays ResponsibilitiesLead design and development of mid-size AI/ML and agentic AI features from design to deploymentProvide technical oversight across multiple applications and teams, with autonomous decision-making in developmentManage one or more Applications Development teams and conduct personnel dutiesArchitect end-to-end AI systems using Python for ML and Java for backend servicesDevelop intelligent agentic systems with autonomous decision-making and automationFine-tune and optimize LLMs, and integrate into production with Python/Java componentsDrive CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes) on cloud platformsEnsure data storage and retrieval strategies with SQL/NoSQL databases; enforce security and complianceAdvocate engineering best practices, observability, and cost-efficiency across full-stack AI developmentStay current with AI/ML, cloud, and DevOps trends and promote adoption of innovationsAdhere to Responsible AI, data privacy, and compliance throughout AI solutions lifecycle Key requirementsPython expert for AI/ML development (Pandas, NumPy)Java proficiency for scalable backend services (Spring Boot, microservices)Experience with Generative AI, Agentic AI, and AI assistant toolsLLM fine-tuning methods (LoRA, QLoRA, adapters) and model optimization techPrompt engineering, RAG systems, and multi-vector retrievalExperience with PyTorch/TensorFlow/Keras and distributed trainingNLP techniques (NER, parsing, text classification) and transfer learningFamiliarity with LangChain, LlamaIndex, Hugging Face, and GenAI APIs (OpenAI, Gemini, Claude, AWS Bedrock)SQL and NoSQL databases (PostgreSQL, Oracle, MySQL, MongoDB, DynamoDB)Cloud platforms (AWS/Azure/GCP) and CI/CD, IaC, containers (Docker) and KubernetesSecurity/compliance and Responsible AI in regulated environmentsBachelor’s degree or equivalent experienceStrong communication and diplomacyLeadership and coaching abilitiesAnalytical, data-driven mindsetPython for AI/ML (Pandas, NumPy)Java for enterprise apps (Spring Boot, microservices)Generative AI and Agentic AI development